By pre-fetching popular videos into the local caches of edge nodes, wireless edge caching provides an effective means of reducing repeated content deliveries. To meet the various viewing quality requirements of multimedia users, scalable video coding (SVC) is integrated with edge caching, where the constituent layers of scalable videos are flexibly cached and transmitted to users. In this article, we discuss the challenges arising from the different content popularity and various viewing requirements of scalable videos, and present the diverse types of cached contents as well as the corresponding transmission schemes. We provide an overview of the existing caching schemes, and summarize the criteria of making caching decisions. A case study is then presented, where the transmission delay is quantified and used as the performance metric. Simulation results confirm that giving cognizance to the realistic requirements of end users is capable of significantly reducing the content transmission delay, compared to the existing caching schemes operating without SVC. The results also verify that the transmission delay of the proposed random caching scheme is lower than that of the caching scheme which only provides local caching gain.
翻译:通过预先将流行视频插入本地边缘节点缓存处,无线边缘缓存提供了减少反复发送内容的有效手段。为满足多媒体用户的各种观看质量要求,可缩放视频编码(SVC)与边缘缓存结合,可缩放视频的构件层被灵活缓存并传送给用户。在本篇文章中,我们讨论了不同内容受欢迎程度和可缩放视频的各种观看要求带来的挑战,并介绍了各种类型的缓存内容以及相应的传输计划。我们概述了现有的缓存计划,并总结了做出缓存决定的标准。然后介绍了案例研究,将传输延迟量化并用作性能衡量标准。模拟结果证实,与现有的缓存计划相比,承认终端用户的现实需求能够大大减少内容传输延迟,而现有的缓存计划没有SVC运行。结果还核实,拟议的随机缓存计划的传输延迟率低于只提供本地缓存收益的缓存计划。